Abstract: An electroencephalogram analysis apparatus includes an electroencephalogram acquisition part and a comparison part. The electroencephalogram acquisition part is configured to acquire a first electroencephalogram measured at a first region on a head of a test subject and a second electroencephalogram measured at a second region positioned behind the first region on the head of the test subject. The comparison part is configured to compare a power of the first electroencephalogram in a specific frequency band with a power of the second encephalogram in the specific frequency band.

Abstract: A two part patient monitoring device includes an activator module and a sensor device. The activator module includes a non-galvanic data port that creates a communication path with a non-galvanic data port on the sensor device. The activator module includes power contact pads that are each at least partially surrounded by a bias ring. A bias voltage is applied to the bias rings and a processor or circuit in the activator module monitors the voltage on the bias ring to detect a leakage current. The sensor module includes power contact pins that engage the power contact pads to transfer power from the activator module to the sensor device. Each of the contact pins are surrounded by a seal member such that the connection between the power contact pins and the power contact pads is protected from debris and/or moisture.

Abstract: Methods and apparatus for providing data processing and control for use in a medical communication system are provided.

Abstract: Methods and devices for detecting positioning of a probe in a tissue of a patient. A method can include providing a detection device; advancing a device coupled probe through the tissue of the patient and toward the patient's target tissue; detecting a change in pressure about the distal portion of the coupled probe during advancing, where the detected pressure change indicates probe positioning in a vein or artery of the patient; outputting the detected pressure change or indication of probe positioning to a visual display.

Abstract: A sensor device includes an implantable sensor unit, a transponder unit, and a wired connection flexibly and electrically connecting the implantable sensor unit and the transponder unit. The implantable sensor unit is adapted to be implanted into a body. The implantable sensor unit includes a comparator and a sensor adapted to sense a characteristic of the body in vivo. The sensor is adapted to supply an analog signal to a first input of the comparator. The transponder unit is adapted to supply a control signal to the implantable sensor unit and to receive an output signal of the comparator. The implantable sensor unit is adapted to supply an analog approximation signal to a second input of the comparator in response to the control signal. The wired connection is adapted to transmit the control signal and the output signal of the comparator.

Abstract: A wrist worn heart rate monitor includes a photoplethysmogram (PPG) sensor and an inertial sensor. Signals from the inertial sensor are used to identify and remove noise from the PPG signals. An initial heart rate value is selected from a number of heart rate candidates that remain in the resulting PPG spectrum and is used to track the heart rate of the user. The PPG spectrum is monitored while tracking the heart rate to determine if the selected initial heart rate value is in error. The PPG spectrum may be monitored by determining a correlation of possible heart rate candidates in each PPG spectrum to the previous heart rate candidates and resetting the heart rate value accordingly. Additionally or alternatively, the PPG spectrum may be monitored by determining when only a single heart rate candidate is present in consecutive PPG spectra and resetting the heart rate value accordingly.

Abstract: A method and system for contextual heart rate monitoring are disclosed. In a first aspect, the method comprises calculating a heart rate using a detected ECG signal and detecting an activity level. In a second aspect, the system comprises a wireless sensor device coupled to a user via at least one electrode, wherein the wireless sensor device includes a processor and a memory device coupled to the processor, wherein the memory device stores an application which, when executed by the processor, causes the processor to calculate a heart rate using a detected ECG signal and to detect an activity level.

Abstract: A method for detecting thresholds in a breathing session is disclosed. The method comprises recording breathing sounds of a subject using a microphone. The method further comprises processing the breathing sounds to generate an audio respiratory signal and recognizing a plurality of breath cycles from the audio respiratory signal. Additionally, the method comprises extracting metrics related to a breath intensity and a breath rate from the plurality of breath cycles and producing a plurality of vectors using the metrics related to the breath intensity and the breath rate. Further, the method comprises calculating a master vector by summing the plurality of vectors and assigning each value in the master vector with a weighting coefficient and determining the thresholds using peak values in said master vector.

Abstract: A wearable device measures heart rate recovery of a user in a non-clinical setting. The wearable device comprises a heart rate detector configured to detect heart rate data of the user, an activity sensor configured to detect motion of the user, and a processor. The processor is configured to identify a start of an activity by the user using the motion detected by the activity sensor. Responsive to detecting the start of the activity, the processor monitors the motion detected by the activity sensor to identify an end of the activity. A regression analysis is performed on heart rate data detected by the heart rate detector during a period of time after the end of the activity, and the heart rate recovery of the user is determined using the regression analysis.

Abstract: Electrode systems are disclosed for measuring the concentration of an analyte under in vivo conditions, where the systems includes an electrode with immobilized enzyme molecules and an improved diffusion barrier that controls diffusion of the analyte from body fluid surrounding the electrode system to the enzyme molecules. Methods of making and using the system also are disclosed.

Abstract: Some method examples may include pacing a heart with cardiac paces, sensing a physiological signal for use in detecting pace-induced phrenic nerve stimulation, performing a baseline level determination process to identify a baseline level for the sensed physiological signal, and detecting pace-induced phrenic nerve stimulation using the sensed physiological signal and the calculated baseline level. Detecting pace-induced phrenic nerve stimulation may include sampling the sensed physiological signal during each of a plurality of cardiac cycles to provide sampled signals and calculating the baseline level for the physiological signal using the sampled signals. Sampling the sensed physiological signal may include sampling the signal during a time window defined using a pace time with each of the cardiac cycles to avoid cardiac components and phrenic nerve stimulation components in the sampled signal.

Abstract: A method is provided for determining pulse transit time of a subject as a function of blood pressure. The method includes: measuring a proximal waveform indicative of the arterial pulse at a proximal site of the subject; measuring a distal waveform indicative of the arterial pulse at a distal site of the subject; defining a relationship between the proximal waveform and the distal waveform in terms of unknown parameters of a nonlinear model; determining the unknown parameters of the nonlinear model from the measured proximal waveform and the measured distal waveform; and determining pulse transit time for the subject as a function of blood pressure from the parameters of the nonlinear model. The nonlinear model can account for arterial compliance and peripheral wave reflection, where the arterial compliance depends on blood pressure.

Abstract: Disclosed are methods, apparatuses, etc. for determination and application of a metric for assessing a patient's glycemic health. In one particular implementation, a computed metric may be used to balance short-term and long-term risks associated with a particular therapy.

Abstract: A fluid bladder has a first fluid bladder region that inflates due to receiving a supply of fluid and is contained in a portion of an outer circumferential surface of a measurement site in a lengthwise direction of a cuff, the portion corresponding to a first half surface, where an artery is. Also, the fluid bladder has an expansion region that is expanded due to an action from outside, and is contained at a portion of the outer circumferential surface of the measurement site that corresponds to a second half surface, in the lengthwise direction of the cuff. During inflation for blood pressure measurement, a stroke amount by which the expansion region expands is larger in the thickness direction than a stroke amount by which the first fluid bladder region swells.

Abstract: A sleep apnea diagnostic system includes a housing that is configured to be attached to near the nose of a patient's face to sense physiological information of a patient. The housing includes sensors to sense the physiological information. The physiological information may be, for example, air flow through the nose or the mouth or both. The physiological information further may be, for example, blood volume. The sleep apnea diagnostic system includes at least one processor in the housing or external to the housing or both to analyze the physiological information to determine whether the patient has experienced irregular or abnormal respiratory activity and to detect respiratory effort. The analysis may be real time or delayed.

Abstract: A compression device includes at least one pressurizable bladder to substantially occlude blood flow into skin capillary beds adjacent to the at least one pressurizable bladder, and a plurality of perfusion sensors. In operation a first-angiosome sensor detects the perfusion parameter of a skin capillary bed in a first angiosome of the limb, and a second-angiosome sensor detects the perfusion parameter of a skin capillary bed in a second angiosome of the limb that is different from the first angiosome. A control circuit maps sensor signals from the first-angiosome sensor to the first angiosome or a first artery of the limb, and maps sensor signals from the second-angiosome sensor to the second angiosome or a second artery of the limb different from the first artery of the limb. For each perfusion sensor, the control circuit determines whether the received sensor signals are indicative of peripheral artery disease.

Abstract: Embodiments provide a sensor insertion tool (SIT) that provides a motive force for insertion of an analyte sensor into/through skin. A SIT may be releasably locked to one or more components of a sensor insertion system, such that components of the sensor insertion system remain securely coupled during sensor insertion. A SIT may include a release member that unlocks or uncouples the SIT and the other components after sensor insertion. In various embodiments, a SIT may be a component of a sensor insertion system configured for assembly by an end user, a health care professional, and/or a caretaker prior to sensor insertion, and may act in cooperation with other sensor insertion system components. Additional components and methods of assembly and use are also provided herein.

Abstract: [Problem] To provide a finger arterial dilatability testing method, finger arterial dilatability testing device, and finger arterial dilatability testing program with which it is possible to simply test for early signs of arteriosclerosis using the small vessels of the finger arteries.

Abstract: Methods are presented for determining pulse transit time (PTT) and/or pulse wave velocity (PWV) of a subject by application of parametric system identification to proximal and distal arterial waveforms. The two waveforms are measured from the subject. A system is defined that relates the proximal arterial waveform to the distal arterial waveform (or vice versa) in terms of the unknown parameters of a parametric mathematical model. The model parameters are determined from the measured waveforms using system identification. PTT between the proximal and distal arterial sites is then determined from the system model. PWV may also be determined by dividing the distance between measurement sites (D) by PTT.

Abstract: The present document describes a system for equalizing the pressure of a pressure guidewire against the pressure of an aortic pressure device: the system comprising two methods of equalizing the pressure against each other, one method that involves a gain adjustment and another method that involves the addition of an offset; the method further comprising a method for detecting which method should be applied to the situation, the detecting methods including: the contribution of the operator; an algorithm detecting the first equalization from subsequent post procedure equalizations, the algorithm including various factors such as incrementing the equalization requests, measuring the elapsed time and others.